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 bayes learning


A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks

Neural Information Processing Systems

We present an algorithm which is expected to realise Bayes optimal predictions in large feed-forward networks. It is based on mean field methods developed within statistical mechanics of disordered sys(cid:173) tems. We give a derivation for the single layer perceptron and show that the algorithm also provides a leave-one-out cross-validation test of the predictions.